Twinlab

Mega B-12 Dots 5000 mcg

F
N+ Score20
Collagen & BeautyServing: 1 Microlozenge(s)Type: Other Combinations

Twinlab Mega B-12 Dots 5000 mcg is a B-12 supplement, providing 5000 mcg of cyanocobalamin per microlozenge. This product contains 8 ingredients in total, with full label transparency. However, it received an N+ Score of 20, earning it an "F" grade, indicating a poor overall quality assessment. The formulation does not contain any ingredients at clinically studied doses, and the analysis did not identify specific underdosed ingredients in its primary function. Research suggests B-12 may support nerve function and energy metabolism. This product might be considered by individuals seeking a high dose of B-12 in cyanocobalamin form, though its low N+ Score suggests potential areas for improvement in formulation or ingredient quality.

About This Product

Mega B-12 Dots 5000 mcg by Twinlab is a collagen & beauty supplement containing 8 active ingredients. It has earned an N+ Score of 20/100 (Grade F).

N+ Score Breakdown

Ingredient Adequacy0/100

Are key ingredients present at clinically effective doses based on research?

Formula Completeness0/100

Does the product include all expected ingredients for its supplement category?

Label Transparency0/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity100/100

Does the formula include a breadth of beneficial compounds from multiple pathways?

Strengths

  • +Broad ingredient diversity exceeding category norms

Weaknesses

  • Several ingredients below clinically effective doses
  • Missing several expected ingredients for its category
  • Proprietary blends hide individual ingredient amounts

Ingredient Analysis (8 ingredients)

IngredientAmountDose Adequacy
SilicaN/A
CyanocobalaminN/A
MannitolN/A
CelluloseN/A
Croscarmellose SodiumN/A
Magnesium StearateN/A
Stearic AcidN/A
Cherry flavorN/A

Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.